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Machine-learning-based control of perturbed and heated channel flows

; ; ;

In
High performance computing : ISC High Performance Digital 2021 International Workshops, Frankfurt am Main, Germany, June 24 - July 2, 2021 : revised selected papers / Heike Jagode, Hartwig Anzt, Hatem Ltaief, Piotr Luszczek (eds.), Seiten/Artikel-Nr: 7-22

Konferenz/Event:International Workshop on the Application of Machine Learning Techniques to Computational Fluid Dynamics and Solid Mechanics: Simulation and Analysis CFDML2021

ImpressumCham, Switzerland : Springer

Umfang7-22

ISBN978-3-030-90538-5, 978-3-030-90539-2, 978-3-030-90540-8

ReiheLecture notes in computer science ; 12761, Theoretical Computer Science and General Issues

Online
DOI: 10.1007/978-3-030-90539-2_1


Einrichtungen

  1. Lehrstuhl für Strömungslehre und Aerodynamisches Institut (415110)
  2. Aachen Institute for Advanced Study in Computational Engineering Science (080003)
  3. JARA-CSD (Center for Simulation and Data Science) (080031)



Dokumenttyp
Contribution to a book/Contribution to a conference proceedings

Format
online, print

Sprache
English

Anmerkung
Peer reviewed article

Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-85119835123
WOS Core Collection: WOS:000763168300001

Interne Identnummern
RWTH-2022-00175
Datensatz-ID: 837914

Beteiligte Länder
Germany

 GO

NationallizenzNationallizenz ; SCOPUS
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The record appears in these collections:
Document types > Events > Contributions to a conference proceedings
Document types > Books > Contributions to a book
Faculty of Mechanical Engineering (Fac.4)
Central and Other Institutions
Documents in print
Public records
080003
080031
415110
 Record created 2022-01-06, last modified 2025-12-11
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